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SuperAgentic

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You ask Claude to extract every claim from 400 scanned pages. It spawns eight subagents. All eight start on page one.

And each one decides for itself what "done" means, so you get eight standards on one corpus.

Both failures have the same cause. A subagent has no context: it cannot see the other seven, and it did not read the reasoning you did before spawning it. So it needs two things it can only get by asking.

  1. Which page is mine? Nobody else is on it, and if I die it comes back.
  2. What am I supposed to do with it? The task, what finished looks like, what to hand back, and which skills I need first.

SuperAgentic is where both live. You define the work once and enqueue the units; every worker claims one and is handed the assignment with it. Nothing collides, nothing guesses, and afterwards you can see what actually happened.

A library, a CLI, an MCP server and a dashboard, in one SQLite file, with no dependencies at all.

Start here

uv tool install superagentic
superagentic install-skill

That writes a skill into .claude/skills/. Now ask Claude in English:

extract every claim from the 400 files in scans/, using 8 agents

Claude reads the skill and does the rest: defines the work, enqueues the units, spawns the workers in one message so they run at once, waits for them, and collects the results. You watch it with:

superagentic status --who      # who is holding what, right now
superagentic dashboard         # or the whole picture in a browser

If you would rather drive it yourself, everything below is what the skill is doing on your behalf. And if you run the same work often, put it in a file instead of a shell history:

superagentic init      # writes a commented superagentic.toml
superagentic apply     # registers the skills, defines the kinds, enqueues

The shape of it

import superagentic as sa
conn = sa.connect("work.db")

# One execution of a fleet. Everything below belongs to it, so afterwards you
# can ask what THIS run did rather than what the database happens to contain.
run = sa.start_run(conn, label="Tomus II extraction")

# What a skill name means, once. A readable file is hashed, so units claimed
# before and after an edit stay tellable apart.
sa.register_skill(conn, "xrad-extraction",
                  source="skills/xrad/SKILL.md", version="1.2")

# What the work IS. This is the part a spawn prompt cannot do: the ninth
# worker, started an hour from now, reads exactly the same thing.
sa.define(conn, "extract",
    instructions="Read $path. Record every claim it makes, quoting verbatim.",
    done_when="every claim on the page is recorded, or you have established "
              "there are none",
    returns='{"claims": <int>, "notes": "<string>"}',
    skills=["xrad-extraction"],
    mcp={"xrad": "xrad serve --db graph.db"})

sa.add(conn, "extract", pages, run=run, meta={"path": "scans/$name.png"})

Now spawn ten agents whose entire prompt is claim work and do what it says. Each one is handed this:

UNIT: p0189   (kind: extract, id: extract:p0189)

WHAT TO DO
Read scans/p0189.png. Record every claim it makes, quoting verbatim.

YOU MUST HAVE
skills:
  - xrad-extraction v1.2 [99cdba1cede56a04]
      from: skills/xrad/SKILL.md
MCP servers: xrad (xrad serve --db graph.db)
If any of these is unavailable, call fail with that as the reason.
Do not improvise a substitute.

DONE WHEN
every claim on the page is recorded, or you have established there are none

HAND BACK
{"claims": <int>, "notes": "<string>"}

Call finish (unit_id=extract:p0189) when done, or fail with a reason.
Do not start any other unit.

You do not write that prompt. superagentic prompt extract -n 10 generates it from the kind, so the template cannot drift from the work it describes.

In sixty seconds

uvx superagentic demo
-- 3. three workers claim, and never collide -----------------
   worker-a: page-1, page-2
   worker-b: page-3, page-4
   worker-c: page-5, page-6
   6 units handed out, 6 distinct -- nobody got the same page

-- 4. two finish. the third crashes, holding its work --------
   worker-c: [process dies without reporting anything]

-- 5. its lease expires, and the work comes back -------------
   ...one second later, after the lease expired:
     worker-d picked up page-5  (attempt 2)
   No daemon ran. reclaim() happens on the way into claim().

-- 6. and the dead worker cannot close what it lost ----------
   worker-c calls finish on page-5: False
   worker-d calls finish on page-5: True

A lease, not a lock

This is the only genuinely hard part of the problem, and every other decision follows from it.

A lock held by a crashed worker is worse than no lock at all. The unit is neither being worked nor available, and nothing in the system can tell a busy worker from a dead one. A lease makes that distinction the passage of time: renew it and you keep the unit, stop renewing and it returns to the pool.

There is no daemon and no cron. reclaim() runs at the top of every claim(), so the next worker asking for work does the cleanup on its way in.

At-least-once, and nothing can do better

Said here rather than in a footnote, because the alternative is you finding out in production:

A worker that is slow rather than dead will have its lease expire, another worker will take the unit, and both will finish it.

No timeout distinguishes those two cases. Two defences, and you want both: heartbeat while you work, so only genuinely stalled units are reclaimed, and make the write at the end idempotent, so a unit done twice converges.

When a lease is lost, finish returns False rather than raising. Handle it. That worker no longer owns the unit and should claim a different one.

Watching it run

superagentic dashboard --db work.db          # http://127.0.0.1:8787
superagentic dashboard --out fleet.html      # a static snapshot

14 left is the same number whether five workers are moving through the queue steadily or three have died and one is stuck on a page it will never finish. Every panel exists to separate those two situations:

Panel The question it answers
Runs what has this fleet ever done, and how much parallelism did it really get
Throughput is it still moving
In flight is anyone stuck, since anything held past 3x the p95 is marked
Jobs what happened to this one unit
Workers and models did one model do these faster, cheaper, or worse
Skills in use which version of which skill, and what nobody registered
Could not finish what needs a human

Served from http.server with the CSS and JS inline and the SVG drawn by hand. No framework, no build step, nothing fetched. It is read only, so pointing it at a live run cannot disturb the run, and a test enforces that. There is an optional access token, and because there is no TLS the server refuses to bind off loopback unless one is set.

From the shell

claim exits 1 with no output when the queue is dry, so a loop ends by itself. Eight workers, no coordinator:

superagentic add extract --from-file pages.txt --run "$RUN"

for i in $(seq 1 8); do
  ( while unit=$(superagentic claim extract --json --lease 1800); do
      id=$(echo "$unit" | jq -r '.[0].unit_id')
      name=$(echo "$unit" | jq -r '.[0].name')
      if my-extractor "$name"; then
        superagentic done "$id"
      else
        superagentic fail "$id" --note "extractor exited $?"
      fi
    done ) &
done
wait
superagentic status --who

A script driving a fleet does not need to parse any of that. wait blocks until the work is over and the exit code is the interface: 0 finished cleanly, 1 something failed, 2 timed out.

RUN=$(superagentic start --label "nightly extraction")
superagentic add extract --from-file pages.txt --run "$RUN"
./spawn-my-workers.sh &

if superagentic wait --run "$RUN" --timeout 7200; then
  ./collect-results.sh
else
  superagentic status --run "$RUN"        # something failed, or it stalled
  superagentic retry --run "$RUN"         # fix the bug, re-run only what broke
fi

From an agent

Fourteen MCP tools, split by who uses them.

The orchestrator uses start_run, register_skill, define_kind, add_jobs, worker_prompt, job_results, list_runs and list_skills. It can stand up an entire fleet without touching a shell.

Each worker uses claim_job, finish_job, release_job, fail_job, heartbeat_job and job_status.

{"mcpServers": {"work": {"command": "superagentic",
                         "args": ["serve", "--db", "work.db"]}}}

The tool descriptions carry the protocol, because that is all a worker reads: claim before starting, do what the brief says rather than what you assume, and stop when the queue is empty rather than invent work. That last one is the failure mode worth designing against, since an agent with nothing to do will reliably find something, and what it finds is usually a unit somebody else has.

Documentation

Concepts leases, capabilities, skills, and what is deliberately refused
MCP wiring it to Claude Code, Cursor, or your own agent
Dashboard what each panel answers, and why percentiles not averages
Reference every command and the Python API
Skill the Claude Code skill, and how install-skill works
Packaging uv, Homebrew, pip, and which to use
Licensing Apache-2.0 everywhere except ee/, and where the line is

What it is not

Not a scheduler. No dependencies between units, no backoff, no cron, one integer of priority. If you need those, run a real queue and keep this for the hand out.

Not a broker. One SQLite file on one filesystem. Many processes, one box. SQLite over NFS is not safe and this does not pretend otherwise.

Not exactly once. See above. Nothing is.

It does not spawn agents. superagentic prompt generates the prompt to spawn them with. Running it belongs to your runtime, because the moment this package spawns anything it needs credentials and an opinion about which agent framework you use.

It does not fetch or install skills, and it cannot verify that a worker loaded one, any more than it can verify the model a worker says it is. Both are declared. The brief states the requirement and says to fail rather than substitute.

Licence

Apache-2.0, including the right to run it, modify it, and sell a service built on it. The ee/ directory is the one exception and is currently empty. LICENSING.md draws the line and argues for it.

Contributions welcome under the DCO, with no CLA. CONTRIBUTING.md says what will and will not be accepted before you spend an evening.

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